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Health Information Processing

8th China Conference, CHIP 2022, Hangzhou, China, October 21–23, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Buzhou Tang

    1. Harbin Institute of Technology, Shenzhen, Shenzhen, China

  2. Qingcai Chen

    1. Harbin Institute of Technology, Shenzhen, Shenzhen, China

  3. Hongfei Lin

    1. Dalian University of Technology, Dalian, China

  4. Fei Wu

    1. Zhejiang University, Hangzhou, China

  5. Lei Liu

    1. Fudan University, Shanghai, China

  6. Tianyong Hao

    1. South China Normal University, Guangzhou, China

  7. Yanshan Wang

    1. University of Pittsburgh, Pittsburgh, USA

  8. Haitian Wang

    1. The Chinese University of Hong Kong, Hong Kong, China

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1772)

Included in the following conference series:

Conference proceedings info: CHIP 2022.

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About this book

This book constitutes refereed proceedings of the 8th China Conference on China Health Information Processing Conference 2022 held in Hangzhou, China from August 26–28, 2022.

The 14 full papers presented in this volume were carefully reviewed and selected from a total of 35 submissions. The papers in the volume are organised according to the following topical headings: healthcare natural language processing;healthcare data mining and applications

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Table of contents (14 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Healthcare Natural Language Processing

    1. Front Matter

      Pages 1-1
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    2. Corpus Construction for Named-Entity and Entity Relations for Electronic Medical Records of Cardiovascular Disease

      • Hongyang Chang, Hongying Zan, Shuai Zhang, Bingfei Zhao, Kunli Zhang
      Pages 3-18

    3. Hybrid Granularity-Based Medical Event Extraction in Chinese Electronic Medical Records

      • Shuangcan Xue, Jintao Tang, Shasha Li, Ting Wang
      Pages 19-36

    4. Infusing Dependency Syntax Information into a Transformer Model for Document-Level Relation Extraction from Biomedical Literature

      • Ming Yang, Yijia Zhang, Da Liu, Wei Du, Yide Di, Hongfei Lin
      Pages 37-52

    5. A Review of Biomedical Event Trigger Word Detection

      • Xueyan Zhang, Xinyu He, Siyu Liu, Yonggong Ren
      Pages 53-66

    6. BG-INT: An Entity Alignment Interaction Model Based on BERT and GCN

      • Yu Song, Mingyu Gui, Chenxin Hu, Kunli Zhang, Shuai Zhang, Wenxuan Zhang
      Pages 67-81

    7. An Semantic Similarity Matching Method for Chinese Medical Question Text

      • Liru Wang, Tongxuan Zhang, Jiewen Tian, Hongfei Lin
      Pages 82-94

    8. A Biomedical Named Entity Recognition Framework with Multi-granularity Prompt Tuning

      • Zhuoya Liu, Tang Chi, Peiliang Zhang, Xiaoting Wu, Chao Che
      Pages 95-105

  3. Healthcare Data Mining and Applications

    1. Front Matter

      Pages 107-107
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    2. Automatic Extraction of Genomic Variants for Locating Precision Oncology Clinical Trials

      • Hui Chen, Huyan Xiaoyuan, Danqing Hu, Huilong Duan, Xudong Lu
      Pages 109-123

    3. Identification of Sepsis Subphenotypes Based on Bi-directional Long Short-Term Memory Auto-encoder Using Real-Time Laboratory Data Collected from Intensive Care Units

      • Yongsen Tan, Jiahui Huang, Jinhu Zhuang, Haofan Huang, Yong Liu, Xiaxia Yu
      Pages 124-134

    4. Machine Learning for Multimodal Electronic Health Records-Based Research: Challenges and Perspectives

      • Ziyi Liu, Jiaqi Zhang, Yongshuai Hou, Xinran Zhang, Ge Li, Yang Xiang
      Pages 135-155

    5. An End-to-End Knowledge Graph Based Question Answering Approach for COVID-19

      • Yinbo Qiao, Zhihao Yang, Hongfei Lin, Jian Wang
      Pages 156-169

    6. Discovering Combination Patterns of Traditional Chinese Medicine for the Treatment of Gouty Arthritis with Renal Dysfunction

      • Wenying Chen, Weihan Qiu, Tao Chen, Yiyong Xu, Xiaolin Zhang, Xiumin Chen et al.
      Pages 170-183

    7. Automatic Classification of Nursing Adverse Events Using a Hybrid Neural Network Model

      • Xiaowei Ge, Kaixia Li, Juan Ding, Fei Li, Ming Cheng
      Pages 184-196

    8. Node Research on the Involvement of China’s Carbon Tax Policy in the Context of COVID-19

      • Huiwen Wu, Kanghui Zhang, Fan Wang, Jianhua Liu, Wang Zhao, Haiqing Xu et al.
      Pages 197-210

  4. Back Matter

    Pages 211-212
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Other volumes

  1. Health Information Processing

  2. Health Information Processing. Evaluation Track Papers

Editors and Affiliations

  • Harbin Institute of Technology, Shenzhen, Shenzhen, China

    Buzhou Tang, Qingcai Chen

  • Dalian University of Technology, Dalian, China

    Hongfei Lin

  • Zhejiang University, Hangzhou, China

    Fei Wu

  • Fudan University, Shanghai, China

    Lei Liu

  • South China Normal University, Guangzhou, China

    Tianyong Hao

  • University of Pittsburgh, Pittsburgh, USA

    Yanshan Wang

  • The Chinese University of Hong Kong, Hong Kong, China

    Haitian Wang

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